Co-occurring keywords · papers mentioning both
Papers
DeepShade: Enable Shade Simulation by Text-conditioned Image Generation
IJCAI 2025
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization
AAAI 2025
Describe, Adapt and Combine: Empowering CLIP Encoders for Open-set 3D Object Retrieval
ICCV 2025
Descriptive and Discriminative Document Identifiers for Generative Retrieval
AAAI 2025
DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding
EMNLP 2025
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding
ICCV 2025
Detecting Backdoor Samples in Contrastive Language Image Pretraining
ICLR 2025
Detecting Honkadori based on Waka Embeddings
NAACL 2025
Detoxifying Large Language Models via the Diversity of Toxic Samples
EMNLP 2025
DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics
IJCAI 2025
DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis
IJCAI 2025
DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup
ICCV 2025
DiffEmotionVC: A Dual-Granularity Disentangled Diffusion Framework for Any-to-Any Emotional Voice Conversion
Interspeech 2025
Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning
ICCV 2025
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts
AAAI 2025
DiMPLe - Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
ICCV 2025
DisCoCLIP: A Distributional Compositional Tensor Network Encoder for Vision-Language Understanding
EMNLP 2025
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
AAAI 2025
Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching
ICLR 2025
Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
ICML 2025
Disentangled Contrastive Bundle Recommendation with Conditional Diffusion
AAAI 2025
Disentangled Modeling of Preferences and Social Influence for Group Recommendation
AAAI 2025
Disentangle Source and Target Knowledge for Continual Test-Time Adaptation
WACV 2025
Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts
ICML 2025
Distillation versus Contrastive Learning: How to Train Your Rerankers
IJCNLP 2025